Data Mining With Improved and Efficient Mechanism in Clustering Analysis and Decision Tree as a Hybrid Approach

In this paper, the authors are using clustering and decision tree methods to mine the data by using hybrid algorithms K-MEANS, SOM and HAC algorithms from clustering and CHAID and C4.5 algorithms from decision tree and it can produce the better results than the traditional algorithms. It also performs the comparative study of these algorithms to obtain high accuracy. Clustering method will use for make the clusters of similar groups to extract the easily features or properties and decision tree method will use for choose to decide the optimal decision to extract the valuable information.